{"library":"tensorboard","type":"library","category":null,"description":"TensorBoard is a powerful visualization toolkit for machine learning experimentation, enabling tracking of metrics like loss and accuracy, visualization of model graphs, projection of embeddings, and much more. It is closely integrated with TensorFlow and PyTorch ecosystems, and its releases generally track TensorFlow versions. The current stable version is 2.20.0, and it is actively maintained with regular updates.","language":"python","status":"active","version":"2.20.0","tags":["machine-learning","deep-learning","visualization","tensorflow","pytorch"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install tensorboard","imports":["from torch.utils.tensorboard import SummaryWriter","from tensorflow.keras.callbacks import TensorBoard","import tensorflow as tf\nwriter = tf.summary.create_file_writer('logs/my_experiment')"]}],"homepage":"https://www.tensorflow.org/tensorboard","github":"https://github.com/tensorflow/tensorboard","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorboard/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":7.1,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorboard/compatibility"}}